Sliding-Mode Controlled Induction Motor Servo Drive System via Mec Optimization

Considering the requirement of high performance of induction motor servo system, more parameters and more time of logic determine are the major drawback in the variable structure control, a system with a simple sliding-mode position controller based on mind evolutionary computation is designed. The novel control rue can reduce the time of logic determine. The analysis and proposed methods were verified by simulation and experimentation. For AC system in practice, the ranger of parameters can be chosen correctly with applying matlab design. The mind evolutionary computation can quickly search the optimal parameters in our design. The results of simulations and experimentation show, both dynamic and steady performance are improved evidently and the results are satisfactory.